{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jqdatasdk\n",
    "import pylab\n",
    "from jqdatasdk import get_all_securities\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "from scipy.interpolate import interp1d\n",
    "import datetime\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import mpl_finance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "auth success \n"
     ]
    }
   ],
   "source": [
    "jqdatasdk.auth('18584892542', 'Fire1005330429')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.1.1'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_month_exchange_time():\n",
    "    '''\n",
    "    获取上个月交易时间段\n",
    "    :param date:\n",
    "    :return: start_time end_time\n",
    "    '''\n",
    "    start_time = datetime.datetime.now() + datetime.timedelta(days=-100)\n",
    "    end_time = datetime.datetime.now()\n",
    "    return start_time.strftime(\"%Y-%m-%d\"), end_time.strftime(\"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_date,end_date=get_month_exchange_time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "恺英网络=jqdatasdk.get_price('603005.XSHG', start_date=start_date, end_date=end_date,\n",
    "                                           frequency='daily',\n",
    "                                           fields=None,\n",
    "                                           skip_paused=False, fq='pre')\n",
    "恺英网络['date']=恺英网络.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "恺英网络['date']=pd.to_datetime(恺英网络['date'],format = '%Y-%m-%d %H:%M:%S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "恺英网络.to_csv('恺英网络.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>money</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-07-22</th>\n",
       "      <td>17.68</td>\n",
       "      <td>17.02</td>\n",
       "      <td>17.79</td>\n",
       "      <td>16.98</td>\n",
       "      <td>2752966.0</td>\n",
       "      <td>47385033.0</td>\n",
       "      <td>2019-07-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-23</th>\n",
       "      <td>17.05</td>\n",
       "      <td>17.33</td>\n",
       "      <td>17.44</td>\n",
       "      <td>16.95</td>\n",
       "      <td>2245915.0</td>\n",
       "      <td>38752860.0</td>\n",
       "      <td>2019-07-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-24</th>\n",
       "      <td>17.44</td>\n",
       "      <td>17.69</td>\n",
       "      <td>17.74</td>\n",
       "      <td>17.35</td>\n",
       "      <td>3188948.0</td>\n",
       "      <td>56225310.0</td>\n",
       "      <td>2019-07-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-25</th>\n",
       "      <td>17.78</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.97</td>\n",
       "      <td>17.61</td>\n",
       "      <td>2614900.0</td>\n",
       "      <td>46484582.0</td>\n",
       "      <td>2019-07-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-26</th>\n",
       "      <td>17.87</td>\n",
       "      <td>17.85</td>\n",
       "      <td>18.31</td>\n",
       "      <td>17.73</td>\n",
       "      <td>2783501.0</td>\n",
       "      <td>50124075.0</td>\n",
       "      <td>2019-07-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             open  close   high    low     volume       money       date\n",
       "2019-07-22  17.68  17.02  17.79  16.98  2752966.0  47385033.0 2019-07-22\n",
       "2019-07-23  17.05  17.33  17.44  16.95  2245915.0  38752860.0 2019-07-23\n",
       "2019-07-24  17.44  17.69  17.74  17.35  3188948.0  56225310.0 2019-07-24\n",
       "2019-07-25  17.78  17.77  17.97  17.61  2614900.0  46484582.0 2019-07-25\n",
       "2019-07-26  17.87  17.85  18.31  17.73  2783501.0  50124075.0 2019-07-26"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "恺英网络.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 65 entries, 2019-07-22 to 2019-10-28\n",
      "Data columns (total 7 columns):\n",
      "open      65 non-null float64\n",
      "close     65 non-null float64\n",
      "high      65 non-null float64\n",
      "low       65 non-null float64\n",
      "volume    65 non-null float64\n",
      "money     65 non-null float64\n",
      "date      65 non-null datetime64[ns]\n",
      "dtypes: datetime64[ns](1), float64(6)\n",
      "memory usage: 4.1 KB\n"
     ]
    }
   ],
   "source": [
    "恺英网络.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\python36\\lib\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "mat_wdyx = 恺英网络[['date','open','close','high','low']].as_matrix()\n",
    "mat_wdyx[:,0]=恺英网络['date'].values.astype('datetime64[D]').astype('int')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "epoch = datetime.datetime.utcfromtimestamp(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unix_time_millis(dt):\n",
    "    return (dt - epoch).total_seconds() * 1000.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\python36\\lib\\site-packages\\pandas\\plotting\\_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 65 artists>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pylab.rcParams['figure.figsize'] = (15.0, 10.0) # 显示大小\n",
    "fig, ax = plt.subplots(figsize=(15,5))\n",
    "fig.subplots_adjust(bottom=0.5)\n",
    "mpf.candlestick_ochl(ax, mat_wdyx, width=0.9, colorup='g', colordown='r', alpha=1.0)\n",
    "plt.grid(True)\n",
    "# 设置日期刻度旋转的角度 \n",
    "plt.xticks(rotation=30)\n",
    "plt.title('wanda yuanxian 17')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Price')\n",
    "# x轴的刻度为日期\n",
    "ax.xaxis_date ()\n",
    "plt.show()\n",
    "\n",
    "close=恺英网络['close'].values\n",
    "open_v=恺英网络['open'].values\n",
    "volume=恺英网络['volume'].values\n",
    "\n",
    "plt.bar(x=mat_wdyx[:,0],height=volume,color='steelblue', alpha=0.8)\n",
    "# plt.plot(mat_wdyx[:,0],open_v,'g-')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-08-09T00:00:00.000000000 16.68 [2019-09-20 25.09]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure()\n",
    "plt.title('close',fontsize=18)\n",
    "index=恺英网络['date'].values\n",
    "close=恺英网络['close'].values\n",
    "\n",
    "max_indx=np.argmax(close)#max value index\n",
    "min_indx=np.argmin(close)#min value index\n",
    "\n",
    "plt.plot(index,close,'r-',label=r'close',lw=2)\n",
    "\n",
    "dt = datetime.datetime.utcnow()\n",
    "time_now=pd.to_datetime(index[max_indx]).strftime(\"%Y-%m-%d\")\n",
    "\n",
    "plt.plot(index[max_indx],close[max_indx],'ks')\n",
    "show_max='['+str(time_now)+' '+str(close[max_indx])+']'\n",
    "plt.annotate(show_max,xytext=(index[max_indx],close[max_indx]),xy=(index[max_indx],close[max_indx]))\n",
    "print(index[min_indx],close[min_indx],show_max)\n",
    "plt.plot(index[min_indx],close[min_indx],'gs')\n",
    "plt.xlabel(\"value\")#x轴上的名字\n",
    "plt.ylabel(\"date\")#y轴上的名字\n",
    "plt.show()\n",
    "# plt.plot(x,y2,'r-.',label='n=2',lw=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "index=index.astype('datetime64[ns]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "scale=1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_index=np.linspace(min(index.astype('float')), max(index.astype('float')), scale).astype('datetime64[ns]').astype('datetime64[s]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, 1, len(index))\n",
    "y = (open_v+close)/2\n",
    " \n",
    "# 分别用linear和quadratic插值\n",
    "fl = interp1d(x, y, kind='linear')\n",
    "fq = interp1d(x, y, kind='quadratic')\n",
    "fc = interp1d(x, y, kind='cubic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "xint = np.linspace(x.min(), x.max(), scale)\n",
    "yintl = fl(xint)\n",
    "yintq = fq(xint)\n",
    "yintc = fc(xint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(new_index,yintl, color=\"r\", label = \"Linear\")\n",
    "plt.plot(new_index,yintq, color=\"b\", label =\"Quadratic\")\n",
    "plt.plot(new_index,yintc, color=\"y\", label =\"cubc\")\n",
    "plt.plot(index,close,'g-',label='close')\n",
    "# plt.plot(index,close,'gs')\n",
    "plt.legend(loc = \"best\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "close_fft=np.fft.fft(close)\n",
    "shifted = np.fft.fftshift(close_fft)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_index=np.argmax(np.abs(close_fft))\n",
    "indexf=np.arange(len(np.abs(close_fft)/(len(index)/2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x25ca8970a20>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid()\n",
    "close_fft_normal=np.abs(close_fft)/(len(index)/2)\n",
    "plt.plot(indexf,close_fft_normal,'g-',label='close')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "close_fft_normal_block=close_fft_normal[1:10]\n",
    "indexf_block=indexf[1:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x25ca8be36d8>]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(indexf_block,close_fft_normal_block,'r-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
